README.md

metadata

tags:
  - deduplicated
  - semhash
  - semantic-deduplication
  - hfjobs

Deduplicated imdb

This dataset is a deduplicated version of imdb using semantic deduplication with SemHash.

Deduplication Details

• Method: deduplicate

• Column: text

• Original size: 25,000 samples

• Deduplicated size: 24,830 samples

• Duplicate ratio: 0.68%

• Reduction: 0.68%

• Date processed: 2025-06-27

How to use

from datasets import load_dataset

dataset = load_dataset("imdb-deduplicated")

Processing script

This dataset was created using the following script:

uv run dedupe-dataset.py imdb text <repo_id> --method deduplicate

About semantic deduplication

Unlike exact deduplication, semantic deduplication identifies and removes samples that are semantically similar even if they use different words. This helps create cleaner training datasets and prevents data leakage between train/test splits.